Sr. Associate, IT Business Systems Analysis

Alcon Research•Fort Worth, TX

About The Position

At Alcon, the Sr. Associate, IT Business Systems Analysis supports Research & Development teams at the Fort Worth main campus. The role acts as an IT business partner, designing and implementing solutions aligned with business needs and collaborating across functions to deliver high-quality business systems. It combines business analysis and R&D systems expertise to encourage adoption, improve workflows, and support innovation. The role engages with R&D stakeholders on system needs, enhancements, prioritization, and operational activity; gathers and documents requirements; and coordinates with business teams, IT, quality and compliance partners, and vendors. It also supports enterprise application use, integrations between laboratory systems and enterprise or data platforms, AI and data science collaboration, and day-to-day support and continuous improvement. The position is based at Alcon’s Fort Worth campus; the posting does not specify a workplace arrangement.

Requirements

Bachelor’s degree or equivalent directly related experience; alternatively, high school education plus 11 years of experience, an associate degree plus 6 years, or a master’s degree with no additional experience stated.
Fluent ability to read, write, understand, and communicate in English.
At least 2 years of relevant experience.
Strong requirement-gathering and business process analysis skills.
Strong stakeholder engagement and communication skills.
Problem-solving ability in complex, cross-functional environments.

Nice To Haves

A background spanning IT and scientific environments.
Experience in pharma, medical device, or regulated (GxP) environments.
Exposure to R&D platforms and integrations, such as Veeva and AWS, supporting Clinical R&D and Product Safety.
Exposure to AI and machine learning initiatives in scientific workflows.
Experience collaborating with analytics or data science teams on use-case development.
Strong business partnering and influencing skills.
Ability to translate business and scientific needs into IT solutions.
A proactive, solution-oriented mindset focused on execution.
Ability to work effectively within global teams.
Commitment to continuous learning and innovation, particularly in AI and digital capabilities.

Responsibilities

Serve as an IT business technology partner for assigned R&D teams and stakeholders, supporting engagement, intake, prioritization, and follow-up for system needs and operational activity.
Work with business stakeholders to understand process needs, document requirements, clarify business justification, and align requests with release plans and system capabilities.
Facilitate communication among business teams, IT partners, quality and compliance teams, and vendors regarding scope, timelines, risks, and dependencies.
Maintain working relationships with business leads, vendor resources, internal IT teams, and compliance partners to support system operation and continuous improvement.
Gather, analyze, and translate business requirements into IT solutions.
Identify opportunities to improve workflows, usability, data integrity and quality, reporting, system utilization, and operational efficiency.
Support prioritization and delivery of enhancements aligned with business objectives.
Clarify configuration needs with IT stakeholders and vendors, review proposed solutions, and support business acceptance of delivered capabilities.
Promote awareness and adoption of AI capabilities.
Partner with local analytics and data science teams to identify and develop AI use cases.
Translate scientific workflows into opportunities for AI-driven insights and efficiencies.
Guide teams in using enterprise and local applications in alignment with Alcon standards and governance.
Support integration of laboratory systems with enterprise and data platforms.
Advocate for scalable, compliant, and sustainable IT solutions.
Provide day-to-day support to minimize disruption to research activities.
Drive continuous improvement initiatives to enhance user experience, system performance, and operational efficiency.